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This study aims to improve the sensitivity of magnetic detection. In this article, a multi-frequency modulation technique is used to increase the magnetic detection sensitivity of diamond nitrogen vacancy (NV) centers sensors.

In the field of magnetic detection, NV centers have corresponding advantages due to their unique long coherence property at room temperature. The important indicators for NV centers magnetometers are the magnetic detection sensitivity of the NV centers and the integration of the magnetometer. To solve this problem, the authors propose a multi-frequency modulated magnetic detection technique, using an integrated probe as well as a lock-in amplifier for the double enhancement of sensitivity as well as integration.

The following results can be obtained by processing and calculating the experimental data with an integrated lock-in amplifier circuit with an area of 27.50 cm² and a probe volume of 3.12 cm³. The multi-frequency modulation technique was used to increase the magnetic detection sensitivity of the NV centers from 8.59 nT/Hz1 / 2–2.42 nT/Hz1 / 2.

The authors propose a signal modulation technique with an integrated design, which achieves an improvement in the sensitivity of the sensor’s magnetic detection through practical testing.

The authors propose a signal modulation technique with an integrated design, which achieves an improvement in the sensitivity of the sensor’s magnetic detection through practical testing. This technique provides new research solution for the subsequent improvement of the magnetic detection sensitivity.

Digital political advertising has been essentially unregulated for a long time. More recently, a number of notable scandals, such as the Facebook–Cambridge Analytica affair and the external meddling in Brexit and the 2016 US elections, have compelled the European Union to take regulatory action. After discussing the growing role of political advertising for political parties and candidates and the major challenges this implies in terms of electoral integrity, this chapter explores the genesis, significance as well as the limitations of the Transparency and Targeting of Political Advertising (TTPA) Regulation. Introduced in 2024, the TTPA establishes a common regulatory framework across EU Member States ensuring minimum transparency requirements that digital platforms must comply with, including disclosure about the origins, parameters and funders of political advertisements directed to European citizens. While emphasising the important step forward of this Regulation for the countering of information manipulation and foreign interference in elections and the relevant shift in the EU relationships with platform services, we point to a number of problems that remain unaddressed, including the manipulative and deceptive use of political content, hate speech, misinformation and political polarisation.

This study aims to investigate factors that influence individuals’ continuance intention to use massive open online courses (MOOCs) by using machine learning models.

Data was collected from 702 MOOC users from major metropolitan cities in India through a network-based sampling and recruitment via various social media outlets (e.g. LinkedIn and Facebook). Various machine learning algorithms along with explainable artificial intelligence (XAI) were employed using Python PyCaret.

Results confirm that pedagogy value, content value, interface value, ubiquity value, teacher presence and learning satisfaction have positive effects on the continuous intention of MOOCs. Furthermore, pedagogy value is a chief driving force of CI of MOOCs. XAI helps clarify intricate patterns in learner data, thus allowing more appropriate interventions.

The findings of the study would be useful for MOOC developers to formulate better value propositions for ensuring a sustainable business and higher growth rate in the market.

This study bridges the gap in the existing literature by providing a novel approach. To the best of the authors’ knowledge, this is the first study using machine learning and XAI earlier in identifying factors leading to continuous intentions of MOOCs, so this research adds value to the existing method of exploring factors enhancing retention rates among learners.

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.

This study aims to empirically reveal how marketing mix elements are used in Ponzi schemes to trigger herd behavior. Thus, it was aimed to determine how Ponzi schemes use marketing tools to approach and persuade victims. Clarifying this issue is vital in identifying critical points in diagnosing and detecting Ponzi schemes and in de-marketing practices to be used against them.

In this study, content analysis was used to analyze in-text expressions most practically. The population of this study is the Ponzi scheme cases that took place in Turkey between January 1, 2016, and May 31, 2023, which appeared in the press. The study sample consists of 44 cases accessible in terms of parameters, including the research subject in the research population.

In order to reach the widest audiences, Ponzi schemes have generally emerged in metropolitan cities that produce a significant portion of the country's gross national product. The minimum fee to enter these systems is usually between 40 and 50 USD. Although Ponzi Schemes appear to be a financial product, the product they claim to make money is usually intangible and complex. Furthermore, the system's return rate is always higher than the market rate. It is seen that other people influence people in their social and professional environments. Promotion in Ponzi schemes is carried out by word of mouth, social media, direct persuasion, introductory meetings and individual communication. When the herd behavior patterns in Ponzi are examined, it is seen that most of them are “Heuristic Simplification” and “Social Interaction.” As a result, it has been understood that marketing mix elements are used consciously and actively to trigger herd behavior in Ponzi schemes.

The most important limitation of the study is that the data compiled about the cases are not standardized, and the newspaper reports did not provide some details at a sufficient level.

Using a qualitative method and an evidence-based interdisciplinary approach, this study reveals how marketing mix elements are used in Ponzi schemes, a type of financial fraud. In addition, the research is original in that no other study with similar content and scope was found in the literature.

This study aims to systematically review the literature on intergroup prosocial behavior to uncover key insights and propose future research directions for Islamic marketing.

This study uses the Theory-Context-Characteristics-Methodology framework to systematically review past literature based on the most commonly used theories, contexts, characteristics and methods.

After reviewing 2,675 articles from 2000 to 2023, this study identifies the four most common theories and contexts, seven factors and three primary methods used to study intergroup prosocial behavior. Based on these findings, this study identifies seven research gaps and suggests new theoretical perspectives, themes, constructs and methods for future studies in Islamic marketing.

To the best of the authors’ knowledge, this study is the first systematic literature review to explore intergroup prosocial behavior across disciplines while proposing targeted research agendas and actionable insights to advance the field of Islamic marketing.

This study aims to investigate the everyday life information seeking behavior of transgender people in Pakistan.

A quantitative study, based on a survey design, was conducted to explore the everyday information needs of transgender people along with the types and frequency of using information sources. This study further explored the barriers to seeking everyday life information. Data were collected from 378 transgender people from Pakistan.

Music related information was the most important daily life information need and television appeared as one of the primary information sources frequently consulted by the transgender people. The respondents revealed a variety of challenges in accessing information including lack of education, lack of understanding about available information sources, biased treatment by the public and lack of technological skills. Furthermore, a statistically significant difference was found in everyday information needs and sources consulted on the basis of their age and education.

The findings provide a guideline to educate information providers, government agencies and other stakeholders about the information needs of this marginalized community in Pakistan. This study also suggests ways in which stakeholder may improve information systems and services to better assist transgender people.

This research examines the impact of the National Rural E-commerce Comprehensive Demonstration Project (NRECDP) on poverty reduction and income growth in rural China.

The study develops a theoretical framework, which considers the role of geographical, technological, institutional and cultural factors for the e-commerce poverty alleviation (e-CPA) model. Empirically, this study applies the difference-in-differences (DID) model and the event study approach to evaluate the effectiveness of NRECDP on the basis of large-scale county-level and household-level panel data spanning 2010 to 2020.

The study found that the NRECDP, as a government-led, information and communication technology (ICT)-enabled, market-based program, has led to a significant increase in per capita output of primary industry employees, as well as in the disposable income of rural residents, especially those in national-level poverty-stricken (NP) counties. The interventions of the NRECDP achieved these positive outcomes through transportation and Internet infrastructure improvement, ICT adoption and human capital accumulation in impoverished towns and villages in remote rural areas. These effects are larger in the eastern region of China, followed by the central region, whereas the weakest effects were found in the western region. However, we found little evidence of the NRECDP increasing household developmental expenditure.

The study findings have important practical and policy implications for rural e-commerce development and self-sustained poverty alleviation solutions. The research revealed the significance of government NRECDP interventions for increasing rural income, reducing living costs, and empowering the rural population in its multiple social roles, namely, as consumers, producers, employees and microentrepreneurs. The local cultural context may also play a role in ICT adoption and entrepreneurship cultivation with a downstream effect on the effectiveness of e-CPA practices. Policymakers would need to ensure a supportive entrepreneur-friendly environment for rural e-commerce development and continue implementing progressive policies for poverty alleviation.

This study explores poverty alleviation issues in China by developing for the first time a multi-faceted framework that is subsequently tested by both county-level and household-level large-scale observations. Also, it is the first study to provide nationwide empirical evidence on the effectiveness of e-CPA in narrowing down the spatial and digital divides in China. In addition to the impact of geography, technology and governmental support, this study also sheds light on the role of culture in the adoption and diffusion of digital technologies and as a source of local entrepreneurial opportunities.

The link between sleep disturbance and aggression among forensic psychiatric patients is well established. However, the relationship between subjective experience of sleep quality and sleep hygiene, reported head injury, age, neuropsychological functioning and risk within these populations remains poorly understood. A study is described examining the relationships between these factors in a sample of individuals deemed a “grave and immediate” risk toothers. The aim of this study is to explore these relationships in more detail.

A service evaluation project examining the prevalence of self-reported sleep dysfunction, age and the relationship with neuropsychological functioning, reported head injury and dynamic risk appraisals of a UK high secure psychiatric patient sample is described (n = 84).

Self-reported poor sleep quality and poor sleep hygiene is present among 65% of patients, especially those in admission and high dependency wards. Whilst there are no differences between those with a self-reported head injury history in sleep quality, there is in sleep hygiene. Older patients also report more sleep hygiene problems. The combination of poor sleep quality, poor sleep hygiene and performance within selective aspects of executive functioning tasks has some relationship with dynamic risk.

The importance of sleep management and cognitive remediation is discussed, as is the need for more robust research and inclusion of an assessment of sleep within forensic neuropsychological and psychiatric evaluations.

To the best of the authors’ knowledge, this is the first study to examine the relationship of sleep disturbance, neuropsychological functioning and head injuries and risk within a high secure psychiatric patient sample.